Data Science Intern
BayerUpdate time: October 17,2020
Job Description
YOUR TASKS AND RESPONSIBILITIES
The primary responsibilities of this role, Data Science Intern, are to:
- Develop strategies to identify new opportunities and expand existing methods, provide insights, and build practical solutions to complex business problems;
- Apply advanced analytics skills to turn data into competitive advantage and make recommendations for data-driven business decisions.
WHO YOU ARE
Your success will be driven by your demonstration of our LIFE values. More specifically related to this position, Bayer seeks an incumbent who possesses the following:
Required Qualifications:
- Pursuing a Master of Science or Ph.D. in Operations Research, Engineering, Management Science, Mathematics, or another related quantitative discipline;
- Experience delivering analytics solutions to complex business problems;
- Theoretical and practical experience in deterministic optimization and algorithm development related to operations management, including experience with commercial optimization software (ex. CPLEX or Gurobi) and/or commercial simulation software (eg. AnyLogic);
- Expertise in programming, statistical packages, and database languages (ex. Java, R, Python, Scala, SQL and OPL);
- Demonstrated experience in optimizing demand, supply, and network flow challenges related to planning, scheduling, space utilization, and customer service levels;
- Demonstrated problem solving experience analyzing complex data using statistical and advanced analytical methods to deliver predictive and prescriptive insights;
- Exceptional organizational, interpersonal, and written communication skills;
- Ability to work in a matrix environment and influence people at varying levels of responsibility;
- Demonstrate business aptitude, the ability to rapidly learn new problem domains and become conversant in the domain with business users.
Preferred Qualifications:
- Experience in supply chain management, agriculture, and/or laboratory science;
- Hands on experience using IBM DOC framework;
- Experience with software development and architecture related to operations research, artificial intelligence, and machine learning.
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